Job Information
RELX INC Senior Data Discovery and Enrichment Expert I in Bengaluru, India
Elsevier Life Science Solutions provides pharmaceutical and academic researchers the data they need to make decisions. Some of our customers are working on billion-dollar drug discovery projects where early and informed decisions are worth millions. Others are working on innovative projects such as repurposing existing drugs or trying to predict certain characteristics of candidate substances. All of our customers are deeply motivated to cure diseases more effectively and improve lives.
Our Corporate Markets Data Platform brings together the best in engineering, scientific intelligence, data science and semantic modeling techniques to put the right tools into the hands of researchers and data scientists to enable them to invent, innovate and commercialize ideas, products and processes.
We can extract and link data from multiple sources and disciplines, whether publicly available or proprietary, and make this data available to our customers. This massively linked dataset is then channelled through the right interface where it is vital in making the best decisions, successfully getting a drug to market and ensuring patient safety.
Elsevier Technology Services is now seeking a Data Discovery and Enrichment Expert with a penchant for Semantic Modeling and more generally Knowledge Engineering.
This is an exciting role based in India working with a highly motivated and diverse team.Role Purpose:A core part of our project involves building large scale knowledge graphs that serve world-class applications in pharmaceutical drug discovery & development. It is an imperative that our knowledge graphs follow a representation scheme that ensures a smart and efficient exploitation of their content at scale.
The position will be focusing on Implementing knowledge acquisition solutions, modeling, exploitation of semantic data management solutions and programming. In particular, the Data Discovery and Enrichment Expert will be at the forefront of the knowledge representation efforts by suggesting and implementing modeling solutions that ensure the best processing and use of the data.
Responsibilities
Writing and reviewing portions of detailed specifications for the development of Knowledge Graphs and complex system components to ensure continuous improvement
Writing documentation to ensure that the Data Contracts, Models, Architecture and Microservices can easily be found, understood and reused by other teams in other workflows
Implementing development processes, coding best practices, and code reviews to align objectives
Collaborating with development teams and building Java Microservice to understand complex product requirements and translate them to innovative software designs
Mentoring less-senior software developers on development methodologies and optimization techniques to up skill their knowledge
Operating in an Agile environment to resolve technical issues and complete bug fixes while collaborating with key stakeholders
Collaborating with teams and stakeholders to seek feedback on priorities to help shape innovative solutions for complicated software challenges
Researching and assessing industry and technology advancements and developments to identify opportunities to advance our technical capabilities
Key Skills
Expert knowledge of knowledge engineering techniques and technologies, semantic modeling, semantic data integration, ontology engineering, etc.
Good command of Semantic Web Standards (e.g. SHACL, RDF(S), OWL, SPARQL, JSON-LD) and other W3C standards.
Knowledge of Semantic Api e.g. Jena
Be an excellent Java developer with experience working with Java 8 or Java 11, and writing efficient, DRY, code. Scala a plus, other languages can be considered e.g. Python
Have experience of working in an Agile environment and proactively investigating and solving complex problems
Have in-depth knowledge of AWS (or other Cloud provider - we use AWS) and REST
Be a natural communicator, able to engage and influence stakeholders and present technical content to a range of audiences
Have the ability to write and review detailed specifications for the development of complex system components or Data Models and Contracts
Some familiarity with the current trends in Big Data Architecture: Kafka, Spark, Hadoop, Distributed Systems, Parallel Processing Frameworks, Stream / Batch Processing
Have experience of test-driven development and the ability to complete complex bug fixes
Working knowledge of the life sciences and/or chemistry domain
Comfortable working in a fast-moving environment
Education and Experience
- Master’s degree in Artificial Intelligence (Knowledge Representation), Computer Science, or a related field. Bachelor Degree could also be considered depending on the profile and experience, as would an advanced degree in an appropriate scientific domain such as molecular biology or pharmacology.
Work in a way that works for you
We promote a healthy work/life balance across the organisation. With an average length of service of 9 years, we are confident that we offer an appealing working prospect for our people. With numerous wellbeing initiatives, family leave and tuition reimbursement, we will help you meet your immediate responsibilities and long-term goals.
Working remotely from home or in our office in a flexible hybrid pattern
Working flexible hours - flexing the times you work in the day
Working with us
We are an equal opportunity employer with a commitment to help you succeed. Here, you will find an inclusive, agile, collaborative, innovative and fun environment, where everyone has a part to play. Regardless of the team you join, we promote a diverse environment with co-workers who are passionate about what they do, and how they do it.
Working for you
At Elsevier, we know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:
Group Health Insurance Policy (covering self and family)
Group Life insurance/accident policy
Generous long-service awards
New Baby gift
Subsidised food provided (applies to India- Chennai)
Casual Leave, Sick Leave, Privilege Leave, Compassionate Leave, Special Sick Leave, Gazetted Public Holiday and Maternity/Paternity Leave
Free Transport provided to and from the office (applies to India-Chennai)
About us
Supporting the work of research and health partners, we are a global leader in information and analytics. From visionary health education and peer-reviewed literature through to interactive learning technology, our work ultimately improves the health outcomes of society. Constantly striving to spark the next great discovery in science or healthcare, our technology allows big ideas to change the world.
Join us
Are you ready to help us progress science? Our technology leads to innovation, so join a forward thinking digital business that is tackling world-scale challenges and align your ambitions with our passions for driving global knowledge sharing.
Elsevier is an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form: https://forms.office.com/r/eVgFxjLmAK , or please contact 1-855-833-5120.
Please read our Candidate Privacy Policy (https://www.relx.com/careers/join-us/privacy) .
RELX is a global provider of information and analytics for professional and business customers across industries.
We help scientists make new discoveries, lawyers win cases, doctors save lives and insurance companies offer customers lower prices. We save taxpayers and consumers money by preventing fraud and help executives forge commercial relationships with their clients.
In short, we enable our customers to make better decisions, get better results and be more productive.